Daniel received a B.S. in Brain and Cognitive Sciences from MIT and is pursuing a PhD in Management at UCLA. He is a firm believer in the impact data-driven methods can have on our understanding of cognition and our efforts to improve mental health. Daniel is especially interested in natural language processing and various other techniques from machine learning as informative supplements to human empathy.